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Autori: Mladenovic Vladimir M

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Naslov A deep neural network-correlation phase sensitive mask based estimation to improve speech intelligibility (Article)
Autori Sivapatham Shoba Kar Asutosh Bodile Roshan Mladenovic Vladimir M  Sooraksa Pitikhate 
Info APPLIED ACOUSTICS, (2023), vol. 212 br. , str. -
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Naslov Contrastive Bayesian Analysis for Deep Metric Learning (Article)
Autori Kan Shichao He Zhiquan Cen Yigang Li Yang Mladenovic Vladimir M  He Zhihai 
Info IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, (2023), vol. 45 br. 6, str. 7220-7238
Projekat National Key R&D Program of China [2021YFE0110500]; National Natural Science Foundation of China [62202499, 61872034, 62062021, 62011530042]; Hunan Provincial Natural Science Foundation of China [2022JJ40632]; Beijing Municipal Natural Science Foundation [4202055]
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Naslov Graphical User Interface for Design, Analysis, Validation, and Reporting of Continuous-Time Systems Using Wolfram Language (Article; Early Access)
Autori Lutovac-Banduka Maja M Milosevic Danijela Cen Yigang Kar Asutosh Mladenovic Vladimir M  
Info JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, (2023), vol. br. , str. -
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-68/2022-14/200132]; University of Kragujevac - Faculty of Technical Sciences Cacak [451-08-1201/2021-09]; National Key R&D Program of China [2021YFE0110500]
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Naslov A graph model-based multiscale feature fitting method for unsupervised anomaly detection (Article)
Autori Zhang Fanghui Kan Shichao Zhang Damin Cen Yigang Zhang Linna Mladenovic Vladimir M  
Info PATTERN RECOGNITION, (2023), vol. 138 br. , str. -
Projekat Fundamental Research Funds for the Central Universities [2021QY002]; National Natural Science Foundation of China [62062021, 62202499]; Hunan Provincial Natural Sci-ence Foundation of China [2022JJ40632]
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Naslov A Multigraph-Defined Distribution Function in a Simulation Model of a Communication Network (Article)
Autori Miletic Slobodan M Pokrajac Ivan P Pena-Pena Karelia Arce Gonzalo R Mladenovic Vladimir M  
Info ENTROPY, (2022), vol. 24 br. 9, str. -
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Naslov Local Semantic Correlation Modeling Over Graph Neural Networks for Deep Feature Embedding and Image Retrieval (Article)
Autori Shichao Kan Yigang Cen Yang Li Mladenovic Vladimir M  Zhihai He 
Info IEEE TRANSACTIONS ON IMAGE PROCESSING, (2022), vol. 31 br. , str. 2988-3003
Projekat National Key Research and Development Program of China [2021YFE0110500]; Ministry of Education, Science and Technological Development of the Republic of SerbiaMinistry of Education, Science & Technological Development, Serbia [451-08-1201/2021-09]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [2021YJS025]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61872034, 62062021, 62011530042]; Beijing Municipal Natural Science FoundationBeijing Natural Science Foundation [4202055]
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Naslov Mask Estimation Using Phase Information and Inter-channel Correlation for Speech Enhancement (Article)
Autori Sowjanya Devi Sivapatham Shoba Kar Asutosh Mladenovic Vladimir M  
Info CIRCUITS SYSTEMS AND SIGNAL PROCESSING, (2022), vol. 41 br. 7, str. 4117-4135
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Naslov A Family of Adaptive Volterra Filters Based on Maximum Correntropy Criterion for Improved Active Control of Impulsive Noise (Article)
Autori Gowtham Guttikonda Burra Srikanth Kar Asutosh Ostergaard Jan Sooraksa Pitikhate Mladenovic Vladimir M  Haddad Diego B 
Info CIRCUITS SYSTEMS AND SIGNAL PROCESSING, (2022), vol. 41 br. 2, str. 1019-1037
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Naslov Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning (Proceedings Paper)
Autori Kan Shichao Cen Yigang Li Yang Mladenovic Vladimir M  He Zhihai 
Info 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, (2021), vol. br. , str. 13994-14003
Projekat National Key R&D Program of China [2019YFB2204200]; National Natural Science Foundation of China (NSFC) [61872034, 62011530042, 62062021]; Beijing Municipal Natural Science Foundation
Ispravka Web of Science   Članak   Citati: Web of Science   Scopus  
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Naslov Evaluation of HTTP/3 Protocol for Internet of Things and Fog Computing Scenarios (Article)
Autori Milosevic Marjan D Mladenovic Vladimir M  Pesovic Uros M 
Info STUDIES IN INFORMATICS AND CONTROL, (2021), vol. 30 br. 3, str. 75-84
Projekat Ministry of Education, Science and Technological Development, Serbia [451-03-9/2021-14/200132]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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